Lossless Scaling V2.1.1 🆒 💫
For the introduction, explain what lossless scaling is and why it's important. Then introduce the v2.1.1 version, its purpose, and maybe who the target audience is.
Potential pitfalls to avoid: making exaggerated claims about "lossless" since true lossless scaling in the traditional sense (like nearest-neighbor) doesn't improve detail, but AI-based methods add details, which are semi-lossy. I should clarify that term in the introduction. Lossless Scaling v2.1.1
Potential challenges: Any limitations or issues users might face, like high system requirements or specific formats not supported. For the introduction, explain what lossless scaling is